Xingchao Liu | DeepAI

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Featured Co-authors

Qiang Liu
190 publications
Bo Liu
167 publications
Peter Stone
126 publications
Hao Su
119 publications
Mingyuan Zhou
110 publications
Weizhu Chen
89 publications
Jian Peng
67 publications
Pengcheng He
53 publications
Vikas Chandra
43 publications
Yan Zheng
41 publications
Qixing Huang
40 publications

∙ 09/12/2023

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Diffusion models have revolutionized text-to-image generation with its e...

0 Xingchao Liu, et al. ∙

∙ 05/04/2023

AutoML-GPT: Automatic Machine Learning with GPT

AI tasks encompass a wide range of domains and fields. While numerous AI...

0 Shujian Zhang, et al. ∙

∙ 12/04/2022

Fast Point Cloud Generation with Straight Flows

Diffusion models have emerged as a powerful tool for point cloud generat...

0 Lemeng Wu, et al. ∙

∙ 11/02/2022

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models

Retriever-reader models achieve competitive performance across many diff...

0 Shujian Zhang, et al. ∙

∙ 10/06/2022

Neural Volumetric Mesh Generator

Deep generative models have shown success in generating 3D shapes with d...

51 Yan Zheng, et al. ∙

∙ 09/07/2022

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

We present rectified flow, a surprisingly simple approach to learning (n...

2 Xingchao Liu, et al. ∙

∙ 09/02/2022

Diffusion-based Molecule Generation with Informative Prior Bridges

AI-based molecule generation provides a promising approach to a large ar...

11 Lemeng Wu, et al. ∙

∙ 08/31/2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Diffusion-based generative models have achieved promising results recent...

17 Xingchao Liu, et al. ∙

∙ 06/20/2022

A Langevin-like Sampler for Discrete Distributions

We propose discrete Langevin proposal (DLP), a simple and scalable gradi...

14 Ruqi Zhang, et al. ∙

∙ 05/10/2022

ALLSH: Active Learning Guided by Local Sensitivity and Hardness

Active learning, which effectively collects informative unlabeled data f...

0 Shujian Zhang, et al. ∙

∙ 12/02/2021

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

Generating images from natural language instructions is an intriguing ye...

3 Xingchao Liu, et al. ∙

∙ 10/26/2021

Conflict-Averse Gradient Descent for Multi-task Learning

The goal of multi-task learning is to enable more efficient learning tha...

7 Bo Liu, et al. ∙

∙ 02/17/2021

Centroid Transformers: Learning to Abstract with Attention

Self-attention, as the key block of transformers, is a powerful mechanis...

7 Lemeng Wu, et al. ∙

∙ 11/20/2020

Certified Monotonic Neural Networks

Learning monotonic models with respect to a subset of the inputs is a de...

6 Xingchao Liu, et al. ∙

∙ 02/20/2020

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

We consider the post-training quantization problem, which discretizes th...

0 Xingchao Liu, et al. ∙

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